DeepLearning

Why we included this project

This is a Chinese-language study guide for people working through deep learning on their own. Rather than being a single course, it collects the math background, classic textbooks, and lecture series from Stanford, MIT, and NTU's Hung-yi Lee, with links to notes, videos, and PDFs so you can follow along. It also covers the practical side of becoming an ML engineer: algorithm interview prep, LeetCode practice, and Kaggle-style exercises. The curation is the point. A newcomer can work through the sections in order without hunting for scattered resources, and someone prepping for interviews can jump straight to the question banks. It's a reference index rather than runnable software, so treat it as a roadmap to use alongside the actual courses and books it links to.